Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Waveform Design For The Integrated Sensing, Communication and Simultaneous Wireless Information And Power Transfer System

Version 1 : Received: 14 May 2024 / Approved: 14 May 2024 / Online: 14 May 2024 (11:29:21 CEST)

How to cite: Miao, Q.; Shi, W.; Xie, C.; Gao, Y.; Chen, L. Waveform Design For The Integrated Sensing, Communication and Simultaneous Wireless Information And Power Transfer System. Preprints 2024, 2024050965. https://doi.org/10.20944/preprints202405.0965.v1 Miao, Q.; Shi, W.; Xie, C.; Gao, Y.; Chen, L. Waveform Design For The Integrated Sensing, Communication and Simultaneous Wireless Information And Power Transfer System. Preprints 2024, 2024050965. https://doi.org/10.20944/preprints202405.0965.v1

Abstract

The next-generation communication systems demand integration of sensing, communication, and power transfer (PT) capabilities, requiring high spectral efficiency, energy efficiency, and low cost, while also necessitating robustness in high-speed scenarios. Integrated sensing and communication systems (ISACS) exhibit the ability to simultaneously perform communication and sensing tasks using a single RF signal, while simultaneous wireless information and power transfer (SWIPT) systems can handle simultaneous information and energy transmission, and orthogonal time frequency space (OTFS) signals are adept at handling high Doppler scenarios. Combining the advantages of these three technologies, a novel cyclic prefix (CP) OTFS based integrated simultaneous wireless sensing, communication, and power transfer system (ISWSCPTS) framework is proposed in this work. Within the ISWSCPTS, the CP-OTFS matched filter (MF) based target detection and parameters estimation (MF-TDaPE) algorithm is proposed to endow the system with sensing capabilities. To enhance the system’s sensing capability, a waveform design algorithm based on CP-OTFS ambiguity function shaping (AFS) is proposed, which is solved by iteratively method. Furthermore, to maximize the system’s sensing performance under communication and PT Quality of Service (QoS) constraints, a semidefinite relaxation (SDR) beamforming design (SDR-BD) algorithm is proposed, solved using through SDR technique. Simulation results demonstrate that the ISWSCPTS exhibits stronger parameter estimation performance in high-speed scenarios compared to orthogonal frequency division multiplexing (OFDM), waveform designed by CP-OTFS AFS demonstrates superior interference resilience, and beamforming designed by SDR-BD strikes a balance in the overall performance of the ISWSCPTS.

Keywords

simultaneous wireless information and power transfer (SWIPT); integrated sensing and communication systems (ISACS); orthogonal time frequency space (OTFS); waveform design; beamforming; semidefinite relaxation (SDR); matched filter (MF)

Subject

Computer Science and Mathematics, Signal Processing

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